Single-cell multi-omics integration using Optimal Transport
A python framework for data mining microbial natural products by integrating genomics and metabolomics data
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedical applications.
NetICS: network-based integration of multi-omics data for prioritizing cancer genes
Joint analysis single-cell and spatial transcriptomics data with stSCI
Reproducibility repo for Shashikadze et al. "Multi-omics profiling of lungs from genetically diabetic pigs reveals reduced ALOX15 levels and impaired eicosanoid switching as mechanisms contributing to a proinflammatory milieu".
COSMOS is a computational tool crafted to overcome the challenges associated with integrating spatially resolved multi-omics data. This software harnesses a graph neural network algorithm to deliver cutting-edge solutions for analyzing biological data that encompasses various omics types within a spatial framework.
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